Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022):
Performance analysis of Electrical Machines based on Electromagnetic System Characterization using Deep Learning.
Cornell University, ARXIV: 2201.09603.
[Preprint].

Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2022):
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines.
In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2022.3163972, ARXIV: 2201.08877.
[Article]

Merkel, Melina ; Kapidani, Bernard ; Schöps, Sebastian ; Vázquez, Rafael (2022):
Torque Computation with the Isogeometric Mortar Method for the Simulation of Electric Machines.
Cornell University, ARXIV: 2202.05771.
[Preprint].

Kapidani, Bernard ; Merkel, Melina ; Schöps, Sebastian ; Vázquez, Rafael (2022):
Tree-Cotree Decomposition of Isogeometric Mortared Spaces in H(curl) on Multi-Patch Domains.
In: Computer Methods in Applied Mechanics and Engineering, 395, pp. 114949, ISSN: 0045-7825, DOI: 10.1016/j.cma.2022.114949, ARXIV: 2110.15860.
[Article]

Huber, Morten ; Fuhrländer, Mona ; Schöps, Sebastian (2022):
Multi-Objective Yield Optimization for Electrical Machines using Machine Learning.
Cornell University, ARXIV: 2204.04986.
[Preprint].

Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2021):
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine.
In: IEEE Access, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2021.3053856, ARXIV: 2012.11299.
[Article]

Bolten, Matthias ; Friedhoff, Stephanie ; Hahne, Jens ; Schöps, Sebastian (2020):
Parallel-in-Time Simulation of an Electrical Machine using MGRIT.
In: Computing and Visualization in Science, ISSN: 1432-9360, DOI: 10.1007/s00791-020-00333-2, ARXIV: 1912.03106.
[Article]

Bontinck, Zeger ; Lass, Oliver ; Schöps, Sebastian ; De Gersem, Herbert ; Ulbrich, Stefan ; Rain, Oliver (2018):
Robust Optimization Formulations for the Design of an Electric Machine.
In: IET Science, Measurement & Technology, 12, (8), pp. 939–948, ISSN: 1751-8822, DOI: 10.1049/iet-smt.2018.5235, ARXIV: 1712.01536.
[Article]

Bontinck, Zeger ; Corno, Jacopo ; Schöps, Sebastian ; De Gersem, Herbert (2018):
Isogeometric Analysis and Harmonic Stator-Rotor Coupling for Simulating Electric Machines.
In: Computer Methods in Applied Mechanics and Engineering, 334, pp. 40–55, ISSN: 0045-7825, DOI: 10.1016/j.cma.2018.01.047, ARXIV: 1709.05301.
[Article]

Bhat, Prithvi ; Bontinck, Zeger ; Corno, Jacopo ; Schöps, Sebastian ; De Gersem, Herbert (2018):
Modeling of a Permanent Magnet Synchronous Machine Using Isogeometric Analysis.
In: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 37, (5), pp. 1805–1814, ISSN: 0332-1649, DOI: 10.1108/COMPEL-01-2018-0014, ARXIV: 1708.02409.
[Article]

Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian (2017):
Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity.
In: Progress in Industrial Mathematics at ECMI 2016, volume 26 of The European Consortium for Mathematics in Industry. Springer. ISBN: 978-3-319-63081-6, DOI: 10.1007/978-3-319-63082-3_77.
[In Proceedings]

Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian (2016):
UQ of a PMSM With Dynamic Rotor Eccentricity and Shape Optimization of its Magnets.
In: XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits – Proceedings EPNC 2016, 81–82. Poznań, PTETiS Publishers. ISBN: 9788362712045.
[In Proceedings]

Bontinck, Zeger ; De Gersem, Herbert ; Schöps, Sebastian (2016):
Response Surface Models for the Uncertainty Quantification of Eccentric Permanent Magnet Synchronous Machines.
In: IEEE Transactions on Magnetics, ISSN: 0018-9464, DOI: 10.1109/TMAG.2015.2491607, Article #7203404.
[Article]

Bontinck, Zeger ; Lass, Oliver ; Schöps, Sebastian (2015):
Robust Optimization of a Stochastic Reduced Order Model of a Permanent Magnet Synchronous Machine.
In: ISEF 2015 – XVII International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering. ISBN: 978-84-606-9102-0.
[In Proceedings]